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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 15964
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    Explanations

    references to various office-related terms and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to office spaces and workplaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oise
    -0.87
    olini
    -0.74
    ulic
    -0.73
    Interstitial
    -0.72
    MQ
    -0.71
    theless
    -0.71
    CHAT
    -0.71
    cible
    -0.67
    ICAN
    -0.66
    ivals
    -0.66
    POSITIVE LOGITS
    holder
    1.08
    holders
    1.02
     suite
    1.01
    tops
    1.01
    room
    0.98
     365
    0.90
     tower
    0.87
     buildings
    0.86
     suites
    0.86
     vacancy
    0.84
    Activations Density 0.055%

    No Known Activations